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by William Whipple Neely
Director of Data Science at Electronic Arts
Data scientists and analysts write code, sometimes a lot of code, so we are also software developers as much as model builders and algorithm creators. This talk is about the challenges a team of data scientists and analysts face when trying to scale their work, to make their work repeatable and testable. I’ll talk about how our data science team is leveling-up their skills as software developers, the challenges we’ve faced and the strategies that are helping.